Lectures related to Gauss Elimination Algorithm

Explains the concept of least squares solutions and their application in finding the closest solution to a system of equations.

Covers LU factorization, linear independence, and matrix equations.

Summarizes methods for resolving linear systems, including Gaussian elimination and LU decomposition.

Explores matrix equivalence theorems for systems of equations and least squares solutions.

Covers the construction of an iterative method for linear systems by decomposing a matrix A into P, T, and P_A.

Covers methods to solve linear systems with a finite number of operations.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Explores applications of linear algebra in image and signal processing, and introduces algorithms like Gaussian elimination and LU decomposition.

Explores operations with triangular matrices and their role in solving linear systems.